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76fbfba644
Summary: Use it from both __init__ and streams to define dummy types when CUDA is missing Fix accidental reference of global `storage_name` from `_dummy_type` Add type annotations Pull Request resolved: https://github.com/pytorch/pytorch/pull/40177 Differential Revision: D22106922 Pulled By: malfet fbshipit-source-id: 52fbfd91d70a78eb14d7ffda109c02ad1231497e
45 lines
1.6 KiB
Python
45 lines
1.6 KiB
Python
import torch
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import torch._six
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from typing import Union
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def _get_device_index(device: Union[str, torch.device, int, None], optional=False) -> int:
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r"""Gets the device index from :attr:`device`, which can be a torch.device
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object, a Python integer, or ``None``.
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If :attr:`device` is a torch.device object, returns the device index if it
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is a CUDA device. Note that for a CUDA device without a specified index,
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i.e., ``torch.device('cuda')``, this will return the current default CUDA
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device if :attr:`optional` is ``True``.
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If :attr:`device` is a Python integer, it is returned as is.
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If :attr:`device` is ``None``, this will return the current default CUDA
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device if :attr:`optional` is ``True``.
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"""
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if isinstance(device, torch._six.string_classes):
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device = torch.device(device)
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if isinstance(device, torch.device):
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dev_type = device.type
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if device.type != 'cuda':
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raise ValueError('Expected a cuda device, but got: {}'.format(device))
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device_idx = device.index
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else:
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device_idx = device
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if device_idx is None:
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if optional:
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# default cuda device index
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return torch.cuda.current_device()
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else:
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raise ValueError('Expected a cuda device with a specified index '
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'or an integer, but got: {}'.format(device))
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return device_idx
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def _dummy_type(name: str) -> type:
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def init_err(self):
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class_name = self.__class__.__name__
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raise RuntimeError(
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"Tried to instantiate dummy base class {}".format(class_name))
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return type(name, (object,), {"__init__": init_err})
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